preview

Preview subset of data in datastore

Syntax

data = preview(ds)

Description

data = preview(ds) returns a subset of data from datastore ds without changing its current position.

Examples

Preview Data in TabularTextDatastore

Create a datastore from the sample file, airlinesmall_subset.csv, which contains tabular data.

ds = tabularTextDatastore("airlinesmall_subset.csv","TreatAsMissing","NA",...
    "MissingValue",0);

Modify the SelectedVariableNames property to specify the variables of interest.

ds.SelectedVariableNames = ["DepTime","ArrTime","ActualElapsedTime"];

Preview the data for the selected variables.

data = preview(ds)

data=8×3 table
    DepTime    ArrTime    ActualElapsedTime
    _______    _______    _________________

     2117       2305             108       
     1252       1511              79       
     1441       1708              87       
     2258       2336              38       
     1814       1901              47       
     1822       1934              72       
      729        841              72       
     1704       1829              85       

Preview Data in KeyValueDatastore

Create a datastore from the sample file, mapredout.mat, which is the output file of the mapreduce function.

ds = datastore('mapredout.mat');

Preview the data in the datastore.

data = preview(ds)

data=1×2 table
     Key        Value  
    ______    _________

    {'AA'}    {[14930]}

Preview Data in CombinedDatastore

Create a datastore that maintains parity between the pair of images of the underlying datastores. For instance, create two separate image datastores, and then create a combined datastore representing the two underlying datastores.

Create an image datastore imds1 representing a collection of three images.

imds1 = imageDatastore({'street1.jpg','street2.jpg','peppers.png'}); 

Create a second datastore imds2 by transforming the images of imds1 to grayscale and then reflecting the images horizontally.

imds2 = transform(imds1,@(x) fliplr(im2gray(x)));

Create a combined datastore from imds1 and imds2.

imdsCombined = combine(imds1,imds2);

Preview the data in the combined datastore. The output is a 1-by-2 cell array. The two columns represent the first subset of data from the two underlying datastores imds1 and imds2, respectively.

dataOut = preview(imdsCombined)

dataOut=1×2 cell array
    {480×640×3 uint8}    {480×640 uint8}

Display the previewed data as a pair of tiled images.

tile = imtile(dataOut);
imshow(tile)

Input Arguments

ds — Input datastore

datastore

Input datastore. You can use these datastores as input to the preview method.

• MATLAB^® datastores — Datastores created using MATLAB datastore functions. For example, create a datastore for a collection of images using ImageDatastore. For a complete list of datastores, see Select Datastore for File Format or Application.

• Combined and transformed datastores — Datastores created using the combine and transform functions.

• Custom datastores — Datastores created using the custom datastore framework. See Develop Custom Datastore.

Output Arguments

data — Subset of data

table | array

Subset of data, returned as a table or an array depending on the type of ds.

Type of Datastore	Data type of data	Description
TabularTextDatastore and SpreadsheetDatastore	Table	Table with variables specified by the SelectedVariableNames property. The table contains at most eight rows.
ImageDatastore	Integer array	Array of integers corresponding to the first image. The dimensions of the integer array depend on the type of image: For grayscale images, data is m-by-n. For truecolor images, data is m-by-n-by-3. For CMYK Tiff images, data is m-by-n-by-4. The preview function supports all image types supported by the imread function. For more information on the supported image types, see imread.
KeyValueDatastore	Table	Table with the variables Key and Value.
FileDatastore	Table	Table containing the output returned by the read function, specified by the 'ReadFcn' parameter in the fileDatastore function.
TransformedDatastore	Varies	The output is the same as the output returned by the underlying datastore specified by the UnderlyingDatastores property. For example, if the underlying datastore is an image datastore with a ReadSize property value of 1, then data is returned as an integer array.
CombinedDatastore	Cell array	Each element of the cell array contains the output returned by the corresponding underlying datastore specified by the UnderlyingDatastores property.
SequentialDatastore	Varies	The output is a small amount of data from the first nonempty underlying datastore. If all underlying datastores are empty, output is the empty type based on the first underlying datastore. If there are no underlying datastores, output is an empty double.

Extended Capabilities

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

Usage notes and limitations:

• In a thread-based environment, you can use preview only with the following datastores:

  • ImageDatastore objects

  • CombinedDatastore, SequentialDatastore, or TransformedDatastore objects you create from ImageDatastore objects by using combine or transform

  You can use preview with other datastores if you have Parallel Computing Toolbox™. To do so, run the function using a process-backed parallel pool instead of using backgroundPool or ThreadPool (use either ProcessPool or ClusterPool).

For more information, see Run MATLAB Functions in Thread-Based Environment.

Version History

Introduced in R2014b